Advanced Data Engineer

Zühlke Engineering AG; Schlieren; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Flexible working hours

Work from home possibilities

Profit sharing

Zusammenfassung

Zühlke Engineering AG in Switzerland seeks an Advanced Data Engineer to design, implement, and maintain data pipelines that drive business insights for diverse clients. You’ll work with clients to understand data needs and deliver tailored data solutions that scale across multiple industries.

Join a team that values agile delivery, collaboration, and a strong data culture, with opportunities to work on cutting-edge AI and data projects across Europe and Asia.

Qualifikationen

• University degree in computer science, software engineering, data science, or a comparable education.
• 3+ years in data or software engineering positions.
• Experience designing, building, and maintaining data products for data consumers.
• Knowledge of data analysis, data visualization, and data science concepts.
• Experience with data architectures such as Data Lake, Data Lakehouse, Medallion, or Data Products (Streaming & Batch).
• Experience with Cloud Data Platforms like Databricks, Snowflake, Microsoft Fabric, or Amazon SageMaker.
• Proficiency in Python and SQL.
• Hands-on experience with Spark, Delta Lake, Airflow, Kafka, Kubernetes, Terraform, FastAPI, and languages like Scala, R, Java, Typescript or .NET.
• Experience with relational and non-relational databases.
• Familiarity with big data infrastructures and varied data types.
• Agile development and DevOps experience.
• Fluency in German and English.

Aufgaben

• Be a trusted advisor guiding clients to a technical data solution.
• Communicate the what, why, and how to both technical and non-technical stakeholders.
• Develop, test, and monitor distributed data processing pipelines.
• Extrapolate diverse data sets to produce high-quality, reproducible datasets.
• Collaborate with Architects, Software Engineers, and Data Scientists.
• Understand producers and consumers to meet data service requirements.
• Deliver projects in an Agile way, iterating to generate value early.

Kenntnisse

German language

English language

Team collaboration

Problem solving

Ausbildung

University degree in computer science or related

Tools

Databricks

Snowflake

Microsoft Fabric

Amazon SageMaker

Python

SQL

Apache Spark

Delta Lake

Airflow

Kafka

Kubernetes

Terraform

FastAPI

Scala

R

Java

Typescript

.NET

Jobbeschreibung

Founded in Switzerland in 1968, Zühlke is owned by its partners and located across Europe and Asia. We are a global transformation partner, with engineering and innovation in our DNA. We're trusted to help clients envision and build their businesses for the future – to run smarter today while adapting for tomorrow’s markets, customers, and communities. Our multidisciplinary teams specialise in tech strategy and business innovation, digital solutions and applications, and device and systems engineering. We excel in complex, regulated spaces including health and finance, connecting strategy, tech implementation, and operational services to help clients become more effective, resilient businesses.

If you share our values and want to do the best work, for the right reasons, we can offer you the chance to do it on a global scale and play a real role in shaping our exciting journey.

The role

Zühlke is internationally recognized for expertise in developing Data Platforms and data-driven solutions for customers in many different industries. We are investing heavily in global growth in AI & Data. We believe that Data will have a positive impact on our society and environment. Data allows us to address urgent yet unsolved problems in a broad range of fields, from specific applications within organisations to problems of global significance.

As an Advanced Data Engineer, you are a key player in designing, implementing, and maintaining data pipelines. You work closely with clients to understand their data needs and realise tailored solutions that drive business insights. Your technical expertise and strong methodology help you bring your projects and clients to success.

How you’ll make an impact

• Being a trusted advisor, guiding our customers towards a successful technical solution to their data challenges.
• Communicating the “what”, “why” and “how” of proposed solutions to technical and non-technical stakeholders.
• Developing, testing, and monitoring distributed data processing pipelines.
• Extrapolating versatile data sets and sources to produce high quality, reproducible datasets in a scalable and maintainable way.
• Collaborating with other data roles such as Architects, Software Engineers, and Data Scientists with ease.
• Understanding the needs of many types of producers and consumers for our data services, ensuring our products meet their requirements.
• Delivering projects in an Agile way, building iteratively to produce value from data early and frequently.
• Keeping yourself technically sharp, being open to learning new concepts and technologies.

What’s important to us

• You have a university degree (ETH, Uni, FH) in computer science, software engineering, data science, or a comparable education.
• At least 3 years in data or software engineering positions.
• Experience in designing, building, and maintaining data products that meet the needs of data consumers.
• An understanding of common approaches to data analysis, data visualization, and optionally data science so you can produce the right data for data consumers.
• Experience with a variety of approaches to data architectures (e.g. Data Lake, Data Lakehouse, Medallion, Data Products, streaming, batch processing).
• Experience with Cloud Data Platforms like Databricks, Snowflake, Microsoft Fabric or Amazon Sagemaker.
• Practical data programming skills in Python and SQL.
• Hands‑on skills or a keen interest in such technologies as Apache Spark, Delta Lake, Airflow, Kafka, Kubernetes, Terraform, FastAPI, and programming languages (Scala, R, Java, Typescript or .NET).
• Hands‑on experience with both relational and non-relational databases.
• Familiarity with big data infrastructures and concepts for storing and processing large and/or heterogeneous data volumes.
• Practical knowledge of handling varied types of structured and unstructured data (text, tabular, graph, time‑series, geospatial, image, etc.).
• Experience with agile development and DevOps methodologies.
• Fluency in both German and English is required for this position.

What we offer

• Work life blend: we offer a safe & healthy workplace, with flexible working hours and the possibility to work from home.
• Profit share scheme: In addition to your annual salary, you may receive a profit share defined by the company’s success in the previous year.
• Global and Diverse Zühlke community: witness how colleagues from all our 16 offices across the globe come together to create a unique, positive and inclusive work culture, learning from one another at annual team camps, and celebrating year-end parties and other local festivities.
• Committed to development: we are committed to the growth of our people and are investing in your development. We’re empowering you to build the skills you need to make a positive impact, both personally and for our clients, today and in the future.

We welcome people from all backgrounds, regardless of their gender, personality, national origin, race, religion, colour, sexual orientation, gender identity, age, marital status, disability or veteran status.